VP, Reinsurance Actuary

As a Reinsurance Actuary on the Global Analytics team, you will be an individual contributor who serves as a strategic actuarial and analytics partner to brokers and clients, with minimal supervision. You’ll build and communicate complex analyses to evaluate assumptions, premiums, and risk, assess industry factors affecting loss liabilities, and consult on reinsurance actuarial services to help clients mitigate risk. The role integrates the GC view, client view, and market view to deliver technically rigorous and commercially actionable insights. You’ll also contribute to modernizing workflows by leveraging AI, Databricks, and Python to enhance speed, consistency, and scalability.

Responsibilities

• Consult with brokers on client needs and advise on reinsurance programs based on risk tolerance and industry trends.
• Communicate strategically with brokers, reinsurers, and clients to anticipate needs and drive usage of reinsurance actuarial services.
• Implement complex models and calculations to assess risk and develop pricing strategies for various risk exposures.
• Evaluate how reinsurance structures and expected results impact a client’s financial standing (e.g., earnings volatility, capital position) and ensure program design meets client needs.
• Use AI-enabled approaches to streamline repeatable work (e.g., analysis setup, sensitivity testing, QA checks, documentation, and executive summaries) while maintaining actuarial standards and controls.
• Help create broking-aligned strategies that support revenue generation, including identifying opportunities and positioning analytics-led solutions to strengthen client relationships.

Requirements

• ACAS with 5–7 years of industry experience.
• Bachelor’s degree in Actuarial Science, Economics, Math, Statistics, or a related field.
• Pricing, valuation, and/or capital modeling experience.
• Strong skills in Microsoft Office suite.
• Visualization skills (Power BI, Tableau, or similar).
• Excellent communication skills (verbal and written).
• Coding experience in programming languages/tools (e.g., Python, Alteryx, R, VBA, SQL); comfort working with modern analytics platforms such as Databricks.
• Comfortable working in interactive teams with brokers and clients.
• Ability to lead day-to-day parts of a project and make decisions to keep projects moving forward.
• Strong problem-solving skills.

Preferred Qualifications

• Reinsurance actuarial, stochastic modeling, and/or capital modeling experience.
• Experience influencing senior management.
• Diverse background working in various roles and lines of business.
• Demonstrated use of automation/AI to improve analytical efficiency and consistency.

Benefits

• Professional development opportunities, interesting work, and supportive leaders.
• Vibrant and inclusive culture with talented colleagues.
• Career opportunities, benefits, and rewards to enhance well-being.
• Health and welfare benefits, tuition assistance, 401K savings, and other retirement programs.
• Employee assistance programs.

Pay

The applicable base salary range for this role is $114,700 to $210,400. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be made on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

Schedule

This is a hybrid role requiring at least three days a week in the office. The position can be based in New York City, Morristown, Philadelphia, Minneapolis, Dallas, Atlanta, Seattle, San Francisco, or Chicago.